[Alexander, C.H., S. Dahl, and L. Weidman. 1997. “Making Estimates from the American Community Survey.” Paper presented at the 1997 Joint Statistical Meetings, August 10–14, 1997, Anaheim, CA. Available at: https://www.census.gov/content/dam/Census/library/working-papers/1997/acs/1997_Alexander_01.pdf (accessed March 2016).]Search in Google Scholar
[Association for the Advancement of Automotive Medicine. 1990. The Abbreviated Injury Scale, 1990 Revision. Des Plaines, IL: Association for the Advancement of Automotive Medicine.]Search in Google Scholar
[Beaumont, J.P. 2008. “A New Approach to Weighting and Inference in Sample Surveys.” Biometrika 95: 539–553. Doi: http://dx.doi.org/10.1093/biomet/asn028.]Search in Google Scholar
[Binder, D.A. 1983. “On the Variances of Asymptotically Normal Estimators from Complex Surveys.” International Statistical Review 51: 279–292. Doi: http://dx.doi.org/10.2307/1402588.]Search in Google Scholar
[Chen, Q., D.H. Garabrant, E. Hedgeman, R.J.A. Little, M.R. Elliott, B. Gillespie, B. Hong, S.Y. Lee, J.M. Lepkowski, A. Franzblau, P. Adriaens, A.H. Demond, and D.G. Patterson. 2010. “Estimation of Background Serum 2,3,7,8-TCDD Concentrations Using Quantile Regression in the UMDES and NHANES Populations.” Epidemiology 21: S51–S57. Doi: http://dx.doi.org/10.1097/EDE.0b013e3181ce9550.]Search in Google Scholar
[Chowdhury, S., M. Khare, and K. Wolter. 2007. “Weight Trimming in the National Immunization Survey.” In Proceedings of the Joint Statistical Meetings, Section on Survey Research Methods, American Statistical Association, July 29-August 2, 2007, 2651–2658. Available at: http://www.amstat.org/sections/SRMS/Proceedings/y2007/Files/JSM2007-000077.pdf (accessed March 2016).]Search in Google Scholar
[Cox, B.G. and D.S. McGrath. 1981. “An Examination of the Effect of Sample Weight Truncation on the Mean Square Error of survey Estimates.” Paper presented at the 1981 Biometric Society ENAR meeting, Richmond, VA.]Search in Google Scholar
[Elliott, M.R. 2007. “Bayesian Weight Trimming for Generalized Linear Regression Models.” Survey Methodology 33: 23–34.]Search in Google Scholar
[Elliott, M.R. and R.J.A. Little. 2000. “Model-Based Approaches to Weight Trimming.” Journal of Official Statistics 16: 191–210.]Search in Google Scholar
[Eltoft, T., T. Kim, and T.W. Lee. 2006. “On the Multivariate Laplace Distribution.” Signal Processing Letters, IEEE 13: 300–303. Doi: http://dx.doi.org/10.1109/LSP.2006.870353.]Search in Google Scholar
[Ericson, W.A. 1969. “Subjective Bayesian Modeling in Sampling Finite Populations.” Journal of the Royal Statistical Society Series B 31: 195–234. Available at: http://www.jstor.org/stable/2984206.]Search in Google Scholar
[Ghosh, M. and G. Meeden. 1986. “Empirical Bayes Estimation of Means from Stratified Samples.” Journal of the American Statistical Association 81: 1058–1062.10.1080/01621459.1986.10478373]Search in Google Scholar
[Henry, K. and R.V. Valliant. 2012. “Methods for Adjusting Survey Weights when Estimating a Total.” In Proceedings of the 2012 Federal Committee on Statistical Methodology Research Conference. Available at: http://fcsm.sites.usa.gov/files/2014/05/Henry_2012FCSM_V-A.pdf (accessed March 2016).]Search in Google Scholar
[Holt, D. and T.M.F. Smith. 1979. “Post Stratification.” Journal of the Royal Statistical Society Series A 142: 33–46. Doi: http://dx.doi.org/10.2307/2344652.]Search in Google Scholar
[Horvitz, D.G. and D.J. Thompson. 1952. “A Generalization of Sampling Without Replacement From a Finite Universe.” Journal of the American Statistical Association 47: 663–685. Doi: http://dx.doi.org/10.1080/01621459.1952.10483446.]Search in Google Scholar
[Keiding, N. and T.A. Louis. 2015. “Perils and Potentials of Self-Selected Entry to Epidemiological Studies and Surveys.” Journal of the Royal Statistical Society, Series A 179: 319–376. Doi: http://dx.doi.org/10.1111/rssa.12136.]Search in Google Scholar
[Kim, J.K. and C.J. Skinner. 2013. “Weighting in Survey Analysis under Informative Sampling.” Biometrika 100: 385–398. Doi: http://dx.doi.org/10.1093/biomet/ass085.]Search in Google Scholar
[Kish, L. 1992. “Weighting for Unequal Pi.” Journal of Official Statistics 8: 183–200.]Search in Google Scholar
[Lazzeroni, L.C. and R.J.A. Little. 1998. “Random-Effects Models for Smoothing Post-Stratification Weights.” Journal of Official Statistics 14: 61–78.]Search in Google Scholar
[Little, R.J.A. 1991. “Inference with Survey Weights.” Journal of Official Statistics 7: 405–424.]Search in Google Scholar
[Little, R.J.A. 1993. “Poststratification: A Modeler’s Perspective.” Journal of the American Statistical Association 88: 1001–1012. Doi: http://dx.doi.org/10.1080/01621459.1993.10476368.]Search in Google Scholar
[Little, R.J.A. 2011. “Calibrated Bayes, for Statistics in General, and Missing Data in Particular.” Statistical Science 26: 162–174. Doi: http://dx.doi.org/10.1214/10-STS318.]Search in Google Scholar
[Little, R.J.A., S. Lewitzky, S. Heeringa, J. Lepkowski, and R.C. Kessler. 1997. “Assessment of Weighting Methodology for the National Comorbidity Survey.” American Journal of Epidemiology 146: 439–449.10.1093/oxfordjournals.aje.a0092979290504]Search in Google Scholar
[McCullagh, P. and J.A. Nelder. 1989. Generalized Linear Models, 2nd ed. Boca Raton, FL: CRC Press.10.1007/978-1-4899-3242-6]Search in Google Scholar
[Park, T. and G. Casella. 2008. “The Bayesian Lasso.” Journal of the American Statistical Association 103: 681–686. Doi: http://dx.doi.org/10.1198/016214508000000337.]Search in Google Scholar
[Pearl, J. and E. Bareinboim. 2014. “External Validity: from Do-calculus to Transportability Across Populations.” Statistical Science 29: 579–595. Doi: http://dx.doi.org/10.1214/14-STS486.]Search in Google Scholar
[Pfeffermann, D. 1993. “The Role of Sampling Weights when Modeling Survey Data.” International Statistical Review 61: 317–337. Doi: http://dx.doi.org/10.2307/1403631.]Search in Google Scholar
[Pfeffermann, D. 2011. “Modelling of Complex Survey Data: Why Model? Why is it a Problem? How Can We Approach It.” Survey Methodology 37: 115–136.]Search in Google Scholar
[Potter, F.A. 1988. “Survey of Procedures to Control Extreme Sampling Weights.” In Proceedings of the Section on Survey Research Methods, American Statistical Association. 453–458. Available at: http://www.amstat.org/sections/srms/Proceedings/papers/1988_083.pdf (accessed March 2016).]Search in Google Scholar
[Potter, F. 1990. “A Study of Procedures to Identify and Trim Extreme Sample Weights.” In Proceedings of the Survey Research Methods Section, American Statistical Association. 225–230. Available at: http://www.amstat.org/sections/srms/Proceedings/papers/1990_034.pdf (accessed March 2016).]Search in Google Scholar
[Rothman, K.J., E.E. Gallacher, and E.E. Hatch. 2013. “Why Representativeness Should be Avoided.” International Journal of Epidemiology 42: 1012–1014. Doi: http://dx.doi.org/10.1093/ije/dys223.]Search in Google Scholar
[Rubin, D.B. 1987. Multiple Imputation for Non-Response in Surveys. New York: Wiley.10.1002/9780470316696]Search in Google Scholar
[Skinner, C.J., D. Holt, and T.M.F. Smith. 1989. Analysis of Complex Surveys. New York: Wiley.]Search in Google Scholar
[Winston, F.K., M.K. Kallan, M.R. Elliott, R.A. Menon, and D.R. Durbin. 2002. “Risk of Injury to Child Passengers in Compact Extended Pickup Trucks.” Journal of the American Medical Association 287: 1147–1152. Doi: http://dx.doi.org/10.1001/jama.287.9.1147.]Search in Google Scholar